Tissue and cell viability information can be accessed via evaluation of the energy balance. An interesting pathway is the oxygen metabolism which can be analyzed via oxygen-17-MRI (¹⁷O-MRI). With additional ¹⁷O₂-inhalation, the measured variation of H²₁₇O-concentration in time (nat. abundance 0.037%), which is the turnover product of oxidative phosphorylation, allows localized mapping of the cerebral metabolic rate of oxygen consumption (CMRO₂)¹. However, the in-vivo signal of the ¹⁷O-nucleus is reduced by 10⁵ compared to protons (¹H). Additionally extremely fast transverse relaxation is caused by the electrical quadrupole interaction (I=5/2). Thus pulse-sequences that enable ultra-short echo-times and high SNR-efficiency such as 3D density adapted radial (3D-DAPR)² or twisted projection imaging³ are required. Spherical acquisition schemes and T₂^*-relaxation additionally enlarge the full-widths-at-half-maximums (FWHM) of the point-spread-functions (PSF) and thus induce strong partial-volume (PV) effects which diminish the accuracy of signal evaluation of time-resolved ¹⁷O-MRI. Recently, a partial volume correction (PVC) algorithm⁴ was successfully applied^5,6 to non-proton MRI. Spatial resolution, as well as temporal resolution for a CMRO₂-experiment is essential for accurate determination of functional information. Here, PVC ¹⁷O-data with high spatial and temporal resolution, with additional B₁-correction is presented as pre-evaluation for future CMRO₂-experiments.A custom-built quadrature ¹⁷O/¹H-head-coil was optimized for in-vivo measurements. Imaging was conducted on a 7T MR-system (Magnetom 7T, Siemens AG). ¹⁷O-data of a healthy volunteer (age 26) with nominal resolution of (4.5mm)³ was acquired with a 3D-DAPR-sequence with golden angle (GA)⁷ projection acquisition scheme (Fig.1B) which enables reconstruction of arbitrary time-frames. Additional data were acquired to calculate B₁-maps (Fig.1A) with a phase-sensitive method⁸ (TR/TE=72ms/0.56ms, 8000 projections, Θ=75°, resolution: (4.5mm)³). 17O-data was reconstructed with a SNR-enhancing Hamming filter (FOV: 243x243x243mm³) and B₁-corrected. The ¹H-channel was used for shimming and acquisition of basic anatomical reference-data (3D-GRE-sequence (TR/TE=8.1ms/4.88ms, Θ=10°, (1mm)³)) that was used as registration basis. Anatomical masks for CSF, grey (GM) and white matter (WM) were obtained from high resolution anatomical data (Fig.1C) that was acquired with a 24-channel ¹H-head-coil . Oxygen-data of different temporal resolution was then PV corrected to quantify the water-content considering GM, WM and two CSF compartments (lateral ventricles (CSF_i)/sulci (CSF_o)). Previously determined T₂^*-values for GM (T₂^*=2.5ms), WM (T₂^*=2.8ms), CSF (T₂^*=3.9ms) and H₂O (T₂^*=5.3ms) where used for PSF-simulation. Tubes filled with pure H₂O where used as external reference.Quantification accuracy of ¹⁷O-signal was improved for all considered temporal resolutions where discrepancy between CSF_i and CSF_o (ΔCSF) was reduced. Before PVC a mean mismatch of Δ_CSF=18% was cut back to Δ_CSF=3% after correction. Both considered brain matter compartments (GM and BM) experienced upward signal correction, where grey matter was shifted from 52±1% to 82±1% and white matter from 50±1% to 61±2%. For low SNR-data (Δt=1min/2min, SNR=7/10) similar results with little deviation to high-SNR data (Δt=30min, SNR=36) was obtained. Signal and correction stability was evaluated considering several time steps, where ¹⁷O-signal was corrected individually (Fig.2). Corrected water-content remained stable within ±2% for brain matter compartments and ±5% for CSF with maximal fluctuation of 8%. The measured B₁-map allowed localized signal correction and was capable of adjusting the signal ratio R_tubes of left and right reference (Fig.1B, 1&2) tube from R_tubes=0.77±0.03 to Rtubes=1.02±0.05. Signal quantification of in-vivo ¹⁷O-data is strongly influenced by PV effects. With chosen GA projection acquisition scheme it was possible to evaluate data-sets with a nominal resolution of (4.5mm)³ with variable temporal resolution. The applied PVC algorithm is capable of recovering water-content values close to literature⁹ with even low SNR-data (Δt=1min), showing good signal and correction stability. If no correction was applied GM and WM values were underestimated by up to 35%; after correction signal mismatch was reduced to <10%. However, GM and WM values are still underestimated by 4-10%, most likely due to not fully corrected transverse relaxation. It was seen that B₁-mapping with a phase sensitive method is feasible for ¹⁷O-MRI, showing good signal adaption for reference tubes where B₁ heavily influences homogeneity. Additional information obtained from the built in ¹H-channel improved registration accuracy of high resolution anatomical data and allowed shimming. General signal stability of non-moving calibration tubes and brain matter compartments was very good, with maximal fluctuation of 3-4%. Variation for CSF compartments was stronger due to higher sensitivity to motion which was not considered in correction. Separate anatomical mask for each time step would improve correction stability.In this study ¹⁷O-data was evaluated considering spatial and temporal aspect of signal quantification which is of interest for dynamic ¹⁷O-studies. Applied PVC allowed correct, stable signal quantification of considered brain compartments for high spatial and temporal resolution with additional capable B₁-correction.